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CSSI Framework: Cyberloop for Accelerated Bionanomaterials Design

Authors: Hendrik Heinz; Wonpil Im; Ellad Tadmor;

CSSI Framework: Cyberloop for Accelerated Bionanomaterials Design

Abstract

We highlight the development of an integrated cyberinfrastructure for molecular dynamics simulations of nanomaterials and biomaterials from atoms to micrometers in high accuracy and with high level automation, suitable for use by experts and significantly lowering the barrier for use by non-experts. We integrated the INTERFACE force field (IFF) and the IFF surface model database for a wide range of inorganic materials into CHARMM-GUI and OpenKIM, resulting in a new CHARMM-GUI Nanomaterial Modeler as an easy-to-use, web-based interactive platform for the simulation of inorganic, organic, and biological hybrid materials ("bionanomaterials"). OpenKIM was expanded for new functionality to facilitate performance comparisons of bonded force fields such as IFF and CHARMM in addition to nonbonded (reactive) force fields. The chemistry coverage of IFF was more than doubled, including metals, oxides, minerals, 2D materials, gases, and full compatibility with solvents, drugs, proteins, DNA, lipids, polymers, and unlimited materials combinations. The project has to-date supported 5 graduate students (including minority), 3 postdocs, and multiple undergraduate students. We held a 2-day workshop with nationwide and international participation in 2021. Please see details and next steps in the poster.

Award number NSF 1931587

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
Average
Average
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